IEEE

High-Fidelity Lightweight Mesh Reconstruction from Point Clouds

Abstract: Recently, learning signed distance functions (SDFs) from point clouds has become popular for reconstruction. To ensure accuracy, most methods require using high-resolution Marching Cubes for ...
GitHub

Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds

This repository contains the implementation of the experiments presented in our paper "Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds". It is available in early access at this link.
IEEE

Boosting Global-Local Feature Matching via Anomaly Synthesis for Multi-Class Point Cloud Anomaly Detection

Abstract: Point cloud anomaly detection is essential for various industrial applications. The huge computation and storage costs caused by the increasing product classes limit the application of ...
InfoQ

Python Workers Redux: Wasm Snapshots and Native uv Tooling

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
GitHub

Point Cloud Processing, Dataset Download, Deep Learning Models

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...